Hugging Face's logo

AreejB
/
wav2vec2-xlsr-english-speech-emotion-recognition

Audio Classification
Transformers
PyTorch
English
wav2vec2
Inference Endpoints
Model card Files Community
wav2vec2-xlsr-english-speech-emotion-recognition
File size: 6,110 Bytes 
6f701ac
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
 
{
  "best_metric": 0.8854166666666666,
  "best_model_checkpoint": "/content/drive/MyDrive/Areej/Emotions/wav2vec2-xlsr-speech-emotion-recognition/checkpoint-720",
  "epoch": 6.0,
  "eval_steps": 120,
  "global_step": 720,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "learning_rate": 9e-05,
      "loss": 1.482,
      "step": 120
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.59375,
      "eval_f1": 0.5526197615888555,
      "eval_loss": 1.1192463636398315,
      "eval_precision": 0.6706955283551027,
      "eval_precision_ang": 0.8571428571428571,
      "eval_precision_dis": 0.62,
      "eval_precision_fear": 1.0,
      "eval_precision_hap": 0.42857142857142855,
      "eval_precision_sad": 0.3617021276595745,
      "eval_precision_sur": 0.7567567567567568,
      "eval_recall": 0.59375,
      "eval_recall_ang": 0.75,
      "eval_recall_dis": 0.96875,
      "eval_recall_fear": 0.0625,
      "eval_recall_hap": 0.375,
      "eval_recall_sad": 0.53125,
      "eval_recall_sur": 0.875,
      "eval_runtime": 26.0764,
      "eval_samples_per_second": 7.363,
      "eval_steps_per_second": 1.841,
      "step": 120
    },
    {
      "epoch": 2.0,
      "learning_rate": 8e-05,
      "loss": 0.7879,
      "step": 240
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.65625,
      "eval_f1": 0.6157556418699938,
      "eval_loss": 0.8884664177894592,
      "eval_precision": 0.6945893295893296,
      "eval_precision_ang": 1.0,
      "eval_precision_dis": 0.7567567567567568,
      "eval_precision_fear": 0.6904761904761905,
      "eval_precision_hap": 0.44,
      "eval_precision_sad": 0.6666666666666666,
      "eval_precision_sur": 0.6136363636363636,
      "eval_recall": 0.65625,
      "eval_recall_ang": 0.15625,
      "eval_recall_dis": 0.875,
      "eval_recall_fear": 0.90625,
      "eval_recall_hap": 0.34375,
      "eval_recall_sad": 0.8125,
      "eval_recall_sur": 0.84375,
      "eval_runtime": 25.9958,
      "eval_samples_per_second": 7.386,
      "eval_steps_per_second": 1.846,
      "step": 240
    },
    {
      "epoch": 3.0,
      "learning_rate": 7e-05,
      "loss": 0.4891,
      "step": 360
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8072916666666666,
      "eval_f1": 0.8067968655458517,
      "eval_loss": 0.5996339917182922,
      "eval_precision": 0.8322896986054881,
      "eval_precision_ang": 1.0,
      "eval_precision_dis": 0.8157894736842105,
      "eval_precision_fear": 0.96,
      "eval_precision_hap": 0.8571428571428571,
      "eval_precision_sad": 0.6428571428571429,
      "eval_precision_sur": 0.717948717948718,
      "eval_recall": 0.8072916666666666,
      "eval_recall_ang": 0.84375,
      "eval_recall_dis": 0.96875,
      "eval_recall_fear": 0.75,
      "eval_recall_hap": 0.5625,
      "eval_recall_sad": 0.84375,
      "eval_recall_sur": 0.875,
      "eval_runtime": 26.1555,
      "eval_samples_per_second": 7.341,
      "eval_steps_per_second": 1.835,
      "step": 360
    },
    {
      "epoch": 4.0,
      "learning_rate": 6e-05,
      "loss": 0.2076,
      "step": 480
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8229166666666666,
      "eval_f1": 0.824936436825434,
      "eval_loss": 0.6778392195701599,
      "eval_precision": 0.8481715787566851,
      "eval_precision_ang": 0.9666666666666667,
      "eval_precision_dis": 0.9285714285714286,
      "eval_precision_fear": 0.9583333333333334,
      "eval_precision_hap": 0.8461538461538461,
      "eval_precision_sad": 0.6595744680851063,
      "eval_precision_sur": 0.7297297297297297,
      "eval_recall": 0.8229166666666666,
      "eval_recall_ang": 0.90625,
      "eval_recall_dis": 0.8125,
      "eval_recall_fear": 0.71875,
      "eval_recall_hap": 0.6875,
      "eval_recall_sad": 0.96875,
      "eval_recall_sur": 0.84375,
      "eval_runtime": 25.9983,
      "eval_samples_per_second": 7.385,
      "eval_steps_per_second": 1.846,
      "step": 480
    },
    {
      "epoch": 5.0,
      "learning_rate": 5e-05,
      "loss": 0.1506,
      "step": 600
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.7708333333333334,
      "eval_f1": 0.7632545320531495,
      "eval_loss": 0.9791532158851624,
      "eval_precision": 0.8025539275539275,
      "eval_precision_ang": 1.0,
      "eval_precision_dis": 0.8611111111111112,
      "eval_precision_fear": 0.9285714285714286,
      "eval_precision_hap": 0.6153846153846154,
      "eval_precision_sad": 0.6666666666666666,
      "eval_precision_sur": 0.7435897435897436,
      "eval_recall": 0.7708333333333334,
      "eval_recall_ang": 0.78125,
      "eval_recall_dis": 0.96875,
      "eval_recall_fear": 0.40625,
      "eval_recall_hap": 0.75,
      "eval_recall_sad": 0.8125,
      "eval_recall_sur": 0.90625,
      "eval_runtime": 25.9432,
      "eval_samples_per_second": 7.401,
      "eval_steps_per_second": 1.85,
      "step": 600
    },
    {
      "epoch": 6.0,
      "learning_rate": 4e-05,
      "loss": 0.0729,
      "step": 720
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.8854166666666666,
      "eval_f1": 0.8861592068806491,
      "eval_loss": 0.519017219543457,
      "eval_precision": 0.8936954746089651,
      "eval_precision_ang": 0.9655172413793104,
      "eval_precision_dis": 0.9090909090909091,
      "eval_precision_fear": 0.9629629629629629,
      "eval_precision_hap": 0.9310344827586207,
      "eval_precision_sad": 0.8157894736842105,
      "eval_precision_sur": 0.7777777777777778,
      "eval_recall": 0.8854166666666666,
      "eval_recall_ang": 0.875,
      "eval_recall_dis": 0.9375,
      "eval_recall_fear": 0.8125,
      "eval_recall_hap": 0.84375,
      "eval_recall_sad": 0.96875,
      "eval_recall_sur": 0.875,
      "eval_runtime": 25.4794,
      "eval_samples_per_second": 7.535,
      "eval_steps_per_second": 1.884,
      "step": 720
    }
  ],
  "logging_steps": 120,
  "max_steps": 1200,
  "num_train_epochs": 10,
  "save_steps": 120,
  "total_flos": 7.069718492298435e+17,
  "trial_name": null,
  "trial_params": null
}